IoT devices generate large and complex data sets known as big data. Cloud and enterprise applications, websites, computers, sensors, cameras, and much more provide this data in a variety of formats and protocols.
Manufacturing companies have a lot of differences in data coming from many sources, including sensors in production equipment, CRM, ERP, and MES systems from their internal databases.
So, what are the best ways for manufacturers to convert the data they collect into meaningful business insights and tangible benefits?
Analytics are crucial for converting raw data into actionable information.
Data analytics can be aided by machine learning models and data visualization. Data visualization techniques allow manufacturers to better comprehend the story data tells by using powerful computational algorithms to process massive data sets.
As a result of collecting and analysing previously isolated data sets, companies are now able to find ways to optimize processes that have the greatest impact on yield.